This document provides an overview of artificial intelligence (AI), including its introduction, problems it can help deduce, approaches, tools, advantages, disadvantages, and applications. It defines AI as the intelligence demonstrated by machines and the branch of computer science which aims to create such intelligence. While current AI is narrow and focused on specific tasks, the long-term goal is to develop general AI that can perform any intellectual task. The document also discusses logic, control theory, languages, and other tools used in AI and their applications in areas like gesture recognition, robot navigation, and more.
This document provides an overview of artificial intelligence (AI). It begins with definitions of AI and discusses narrow AI versus general AI. It then outlines some common problems addressed by AI like deduction, reasoning, and problem solving. It also lists some popular approaches to AI like symbolic, neural networks, and machine learning. The document discusses tools used in AI like search algorithms, logic, control theory, and specialized languages. It notes some advantages of AI like not needing sleep but also disadvantages like limited sensory input. It concludes with examples of applications for AI in areas like computer vision and robotics.
This document is a seminar paper on artificial intelligence that includes an introduction, problems deducted through AI, approaches, tools, advantages, disadvantages, applications, and conclusion. It discusses what AI is, the problems it can help solve like natural language processing and motion manipulation. It covers approaches like symbolic and connectionist methods. Tools discussed include search and optimization, logic, and control theory. The advantages listed are 24/7 operation and objective problem-solving. Disadvantages include limited senses and conversation. Applications mentioned are gesture recognition, voice recognition, robot navigation, and facial expression analysis.
Artificial intelligence (AI) is the ability of machines to mimic human intelligence through learning, reasoning and interacting with their environments. The document discusses the history and definitions of AI, types of AI including narrow, general and super AI, how AI works using artificial neural networks and algorithms, benefits like reducing human risk but also drawbacks like costs and job disruption. Examples of AI in use include predictive search in Google, personalized recommendations in Netflix using viewing history, and spam filtering in Gmail's inbox.
IN THIS PPT YOU CAN GET REAL TIME APPLICATIONS THAT ARE RELATED WITH ARTIFICIAL INTELLIGENCE AND A BRIEF INTRODUCTION ABOUT ARTIFICIAL INTELLIGENCE. IF ANY QUERIES JUST COMMENT
This document provides an introduction to artificial intelligence (AI). It discusses the history of AI, beginning with its founding in 1956. It outlines the types of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also covers the advantages of AI, such as automation, accuracy, and data analysis, as well as the disadvantages, including potential unemployment, security risks, and loss of control. The document aims to give an overview of what AI is, its history, types, and both benefits and challenges.
This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
Artificial intelligence (AI) is the simulation of human intelligence by machines, especially computer systems. AI works by ingesting large amounts of labeled training data to analyze patterns and correlations in order to make predictions. The main types of AI are reactive machines (task-specific without memory), limited memory systems (can use past experiences), theory of mind systems (understand human emotions and intentions), and self-aware systems (have consciousness). AI is important because it can provide insights by analyzing large amounts of data faster than humans and in some cases perform tasks better. However, AI also has disadvantages such as being expensive, requiring expertise, and only knowing what it has been exposed to through data.
This document provides an overview of artificial intelligence (AI). It begins with definitions of AI and discusses narrow AI versus general AI. It then outlines some common problems addressed by AI like deduction, reasoning, and problem solving. It also lists some popular approaches to AI like symbolic, neural networks, and machine learning. The document discusses tools used in AI like search algorithms, logic, control theory, and specialized languages. It notes some advantages of AI like not needing sleep but also disadvantages like limited sensory input. It concludes with examples of applications for AI in areas like computer vision and robotics.
This document is a seminar paper on artificial intelligence that includes an introduction, problems deducted through AI, approaches, tools, advantages, disadvantages, applications, and conclusion. It discusses what AI is, the problems it can help solve like natural language processing and motion manipulation. It covers approaches like symbolic and connectionist methods. Tools discussed include search and optimization, logic, and control theory. The advantages listed are 24/7 operation and objective problem-solving. Disadvantages include limited senses and conversation. Applications mentioned are gesture recognition, voice recognition, robot navigation, and facial expression analysis.
Artificial intelligence (AI) is the ability of machines to mimic human intelligence through learning, reasoning and interacting with their environments. The document discusses the history and definitions of AI, types of AI including narrow, general and super AI, how AI works using artificial neural networks and algorithms, benefits like reducing human risk but also drawbacks like costs and job disruption. Examples of AI in use include predictive search in Google, personalized recommendations in Netflix using viewing history, and spam filtering in Gmail's inbox.
IN THIS PPT YOU CAN GET REAL TIME APPLICATIONS THAT ARE RELATED WITH ARTIFICIAL INTELLIGENCE AND A BRIEF INTRODUCTION ABOUT ARTIFICIAL INTELLIGENCE. IF ANY QUERIES JUST COMMENT
This document provides an introduction to artificial intelligence (AI). It discusses the history of AI, beginning with its founding in 1956. It outlines the types of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also covers the advantages of AI, such as automation, accuracy, and data analysis, as well as the disadvantages, including potential unemployment, security risks, and loss of control. The document aims to give an overview of what AI is, its history, types, and both benefits and challenges.
This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
Artificial intelligence (AI) is the simulation of human intelligence by machines, especially computer systems. AI works by ingesting large amounts of labeled training data to analyze patterns and correlations in order to make predictions. The main types of AI are reactive machines (task-specific without memory), limited memory systems (can use past experiences), theory of mind systems (understand human emotions and intentions), and self-aware systems (have consciousness). AI is important because it can provide insights by analyzing large amounts of data faster than humans and in some cases perform tasks better. However, AI also has disadvantages such as being expensive, requiring expertise, and only knowing what it has been exposed to through data.
CH-1 Introduction to Artificial Intelligence for class 9.pptxAadityaNanda
This document provides information about artificial intelligence and machine learning. It defines artificial intelligence as the field of computer science focused on developing intelligent machines. It discusses different types of AI like narrow AI, general AI, and artificial neural networks. Examples of applications of AI like IBM Watson and driverless cars are provided. Key components of AI like data, computer vision, and natural language processing are explained. The differences between machine learning and deep learning are summarized.
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
A.I. refers to the capability of machines to imitate intelligent human behavior. The history of A.I. began in the 1950s but has improved greatly in recent decades with advances like Sophia robot. A.I. is needed because humans have physical limitations, while robots can perform dangerous jobs. A.I. is created through a combination of programming, hardware, and sensors. It has many applications like healthcare, education, industry, finance, and customer support. While A.I. provides benefits like low error rates and replacing humans in dangerous jobs, there are also disadvantages such as high costs, lack of creativity, and potential unemployment. The future of A.I. could include automated transportation, cyborg technology
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Artificial intelligence works by ingesting large amounts of labeled training data to analyze for patterns and correlations. These patterns are used to make predictions about future states. There are four types of AI: 1) Reactive Machines that perform basic operations without learning; 2) Limited Memory types that can store previous data/predictions to make better predictions; 3) Theory of Mind types that begin to interact with human thoughts and emotions; and 4) hypothetical Self Aware types with independent intelligence. The document discusses several applications of AI including healthcare for drug development, robotics for delivery, and education for automating administrative tasks.
This document provides an introduction to artificial intelligence, including definitions and explanations of key concepts. It defines AI as making computers behave like humans through techniques like machine learning, reasoning, and problem solving. It then discusses narrow AI which focuses on specific tasks, general AI that can understand any intellectual task, and super AI that surpasses human intelligence. The document also covers reactive machines, limited memory AI, and the theory of mind approach. The overall summary is that the document serves as an introductory overview of the basics of artificial intelligence.
Introduction to artificial intelligenceRajkumarVara
This document provides an overview of artificial intelligence, including its history, creators, types, and current applications. It defines AI as concerned with building intelligent machines that can perform human tasks. The modern history of AI began in 1956 when John McCarthy proposed the term. Alan Turing invented the Turing machine in the 1940s. There are three main types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. Currently, AI is used in applications like chatbots, healthcare, data security, social media, and Tesla's self-driving cars. The document concludes that while AI is not yet as intelligent as depicted in films, its development will significantly change the world.
This document provides an overview of artificial intelligence (AI), including its history, current status, how it works, advantages, and disadvantages. It discusses how AI was developed in the 1960s to mimic human intelligence using machine programming. Today, AI is widely used through technologies like machine learning, deep learning, and natural language processing in applications ranging from personal devices and smart cars to media streaming and home appliances. The document also provides details on how AI systems are trained using large datasets to identify patterns and make predictions, and discusses both the benefits of AI such as reduced time for data-heavy tasks, as well as limitations like lack of ability to generalize.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
Advancement in artificial intelligence: Should Humans be Worried?Raymond Owusu
This document provides an overview of artificial intelligence (AI) including its history, types, technologies, applications, and concerns about its advancement. It defines AI as making intelligent machines through computer programs. It discusses weak AI which is designed for specific tasks, and strong AI which would have general human-level abilities. Key AI technologies explained include machine learning, deep learning, natural language processing, computer vision, and robotics. The document outlines many applications of AI in fields such as healthcare, transportation, education, business, manufacturing and more. It notes concerns from experts like Hawking, Musk and Gates that achieving super intelligent AI without proper oversight could potentially threaten humanity.
This document provides an introduction to artificial intelligence (AI). It defines AI as the simulation of human intelligence by machines, especially computer systems. It discusses the main categories of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines some current and future applications of AI, such as virtual personal assistants, self-driving cars, agriculture, and more. Finally, it discusses roles and career domains related to the field of AI.
INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGsowmyamPSGRKCW
Unit 1 of the document introduces artificial intelligence and machine learning. It discusses how AI solves real-world problems by simulating human intelligence and modeling problem-solving processes. It also covers machine learning models like supervised, unsupervised, and reinforcement learning. Additionally, it introduces popular Python libraries for artificial intelligence like NumPy, Pandas, scikit-learn, and TensorFlow. The role of Python in AI is also discussed along with Anaconda and how to install Python libraries.
This seminar report discusses artificial intelligence. [1] It provides an introduction defining AI as the intelligence demonstrated by machines and the aim to create machine intelligence. [2] It then outlines some key problems that can be solved through AI like deduction, reasoning, and problem solving. [3] The report also briefly discusses approaches like cybernetics and brain simulation, symbolic approaches, tools like search and optimization, logic, and control theory, as well as languages developed for AI research.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
Artificial intelligence aims to create machine intelligence comparable to human intelligence. It has applications in robotics where robots can perform tasks too dangerous or tedious for humans. AI allows robots to sense their environment, compare inputs to expectations, and complete tasks with increased dexterity, safety, and intelligence. Robotics is used in industries, the military, medicine, exploration, and entertainment. Programming languages like Lisp, Python, Prolog, Java, and C++ are used to develop AI and machine learning helps robots and applications learn from data to improve performance over time.
CH-1 Introduction to Artificial Intelligence for class 9.pptxAadityaNanda
This document provides information about artificial intelligence and machine learning. It defines artificial intelligence as the field of computer science focused on developing intelligent machines. It discusses different types of AI like narrow AI, general AI, and artificial neural networks. Examples of applications of AI like IBM Watson and driverless cars are provided. Key components of AI like data, computer vision, and natural language processing are explained. The differences between machine learning and deep learning are summarized.
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
A.I. refers to the capability of machines to imitate intelligent human behavior. The history of A.I. began in the 1950s but has improved greatly in recent decades with advances like Sophia robot. A.I. is needed because humans have physical limitations, while robots can perform dangerous jobs. A.I. is created through a combination of programming, hardware, and sensors. It has many applications like healthcare, education, industry, finance, and customer support. While A.I. provides benefits like low error rates and replacing humans in dangerous jobs, there are also disadvantages such as high costs, lack of creativity, and potential unemployment. The future of A.I. could include automated transportation, cyborg technology
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Artificial intelligence works by ingesting large amounts of labeled training data to analyze for patterns and correlations. These patterns are used to make predictions about future states. There are four types of AI: 1) Reactive Machines that perform basic operations without learning; 2) Limited Memory types that can store previous data/predictions to make better predictions; 3) Theory of Mind types that begin to interact with human thoughts and emotions; and 4) hypothetical Self Aware types with independent intelligence. The document discusses several applications of AI including healthcare for drug development, robotics for delivery, and education for automating administrative tasks.
This document provides an introduction to artificial intelligence, including definitions and explanations of key concepts. It defines AI as making computers behave like humans through techniques like machine learning, reasoning, and problem solving. It then discusses narrow AI which focuses on specific tasks, general AI that can understand any intellectual task, and super AI that surpasses human intelligence. The document also covers reactive machines, limited memory AI, and the theory of mind approach. The overall summary is that the document serves as an introductory overview of the basics of artificial intelligence.
Introduction to artificial intelligenceRajkumarVara
This document provides an overview of artificial intelligence, including its history, creators, types, and current applications. It defines AI as concerned with building intelligent machines that can perform human tasks. The modern history of AI began in 1956 when John McCarthy proposed the term. Alan Turing invented the Turing machine in the 1940s. There are three main types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. Currently, AI is used in applications like chatbots, healthcare, data security, social media, and Tesla's self-driving cars. The document concludes that while AI is not yet as intelligent as depicted in films, its development will significantly change the world.
This document provides an overview of artificial intelligence (AI), including its history, current status, how it works, advantages, and disadvantages. It discusses how AI was developed in the 1960s to mimic human intelligence using machine programming. Today, AI is widely used through technologies like machine learning, deep learning, and natural language processing in applications ranging from personal devices and smart cars to media streaming and home appliances. The document also provides details on how AI systems are trained using large datasets to identify patterns and make predictions, and discusses both the benefits of AI such as reduced time for data-heavy tasks, as well as limitations like lack of ability to generalize.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
Advancement in artificial intelligence: Should Humans be Worried?Raymond Owusu
This document provides an overview of artificial intelligence (AI) including its history, types, technologies, applications, and concerns about its advancement. It defines AI as making intelligent machines through computer programs. It discusses weak AI which is designed for specific tasks, and strong AI which would have general human-level abilities. Key AI technologies explained include machine learning, deep learning, natural language processing, computer vision, and robotics. The document outlines many applications of AI in fields such as healthcare, transportation, education, business, manufacturing and more. It notes concerns from experts like Hawking, Musk and Gates that achieving super intelligent AI without proper oversight could potentially threaten humanity.
This document provides an introduction to artificial intelligence (AI). It defines AI as the simulation of human intelligence by machines, especially computer systems. It discusses the main categories of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines some current and future applications of AI, such as virtual personal assistants, self-driving cars, agriculture, and more. Finally, it discusses roles and career domains related to the field of AI.
INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGsowmyamPSGRKCW
Unit 1 of the document introduces artificial intelligence and machine learning. It discusses how AI solves real-world problems by simulating human intelligence and modeling problem-solving processes. It also covers machine learning models like supervised, unsupervised, and reinforcement learning. Additionally, it introduces popular Python libraries for artificial intelligence like NumPy, Pandas, scikit-learn, and TensorFlow. The role of Python in AI is also discussed along with Anaconda and how to install Python libraries.
This seminar report discusses artificial intelligence. [1] It provides an introduction defining AI as the intelligence demonstrated by machines and the aim to create machine intelligence. [2] It then outlines some key problems that can be solved through AI like deduction, reasoning, and problem solving. [3] The report also briefly discusses approaches like cybernetics and brain simulation, symbolic approaches, tools like search and optimization, logic, and control theory, as well as languages developed for AI research.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
Artificial intelligence aims to create machine intelligence comparable to human intelligence. It has applications in robotics where robots can perform tasks too dangerous or tedious for humans. AI allows robots to sense their environment, compare inputs to expectations, and complete tasks with increased dexterity, safety, and intelligence. Robotics is used in industries, the military, medicine, exploration, and entertainment. Programming languages like Lisp, Python, Prolog, Java, and C++ are used to develop AI and machine learning helps robots and applications learn from data to improve performance over time.
Get Success with the Latest UiPath UIPATH-ADPV1 Exam Dumps (V11.02) 2024yarusun
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How to Create a Stage or a Pipeline in Odoo 17 CRMCeline George
Using CRM module, we can manage and keep track of all new leads and opportunities in one location. It helps to manage your sales pipeline with customizable stages. In this slide let’s discuss how to create a stage or pipeline inside the CRM module in odoo 17.
The Science of Learning: implications for modern teachingDerek Wenmoth
Keynote presentation to the Educational Leaders hui Kōkiritia Marautanga held in Auckland on 26 June 2024. Provides a high level overview of the history and development of the science of learning, and implications for the design of learning in our modern schools and classrooms.
Cross-Cultural Leadership and CommunicationMattVassar1
Business is done in many different ways across the world. How you connect with colleagues and communicate feedback constructively differs tremendously depending on where a person comes from. Drawing on the culture map from the cultural anthropologist, Erin Meyer, this class discusses how best to manage effectively across the invisible lines of culture.
Artificial Intelligence (AI) has revolutionized the creation of images and videos, enabling the generation of highly realistic and imaginative visual content. Utilizing advanced techniques like Generative Adversarial Networks (GANs) and neural style transfer, AI can transform simple sketches into detailed artwork or blend various styles into unique visual masterpieces. GANs, in particular, function by pitting two neural networks against each other, resulting in the production of remarkably lifelike images. AI's ability to analyze and learn from vast datasets allows it to create visuals that not only mimic human creativity but also push the boundaries of artistic expression, making it a powerful tool in digital media and entertainment industries.
8+8+8 Rule Of Time Management For Better ProductivityRuchiRathor2
This is a great way to be more productive but a few things to
Keep in mind:
- The 8+8+8 rule offers a general guideline. You may need to adjust the schedule depending on your individual needs and commitments.
- Some days may require more work or less sleep, demanding flexibility in your approach.
- The key is to be mindful of your time allocation and strive for a healthy balance across the three categories.
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 3)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
Lesson Outcomes:
- students will be able to identify and name various types of ornamental plants commonly used in landscaping and decoration, classifying them based on their characteristics such as foliage, flowering, and growth habits. They will understand the ecological, aesthetic, and economic benefits of ornamental plants, including their roles in improving air quality, providing habitats for wildlife, and enhancing the visual appeal of environments. Additionally, students will demonstrate knowledge of the basic requirements for growing ornamental plants, ensuring they can effectively cultivate and maintain these plants in various settings.
Creativity for Innovation and SpeechmakingMattVassar1
Tapping into the creative side of your brain to come up with truly innovative approaches. These strategies are based on original research from Stanford University lecturer Matt Vassar, where he discusses how you can use them to come up with truly innovative solutions, regardless of whether you're using to come up with a creative and memorable angle for a business pitch--or if you're coming up with business or technical innovations.
3. From SIRI to self-driving cars, artificial
intelligence (AI) is progressing rapidly.
While science fiction often portrays AI as robots
with human-like characteristics, AI can
encompass anything from Google’s search
algorithms to IBM’s Watson to autonomous
weapons.
Artificial intelligence today is properly known as
narrow AI (or weak AI), in that it is designed to
perform a narrow task (e.g. only facial recognition
or only internet searches or only driving a car).
However, the long-term goal of many researchers
is to create general AI (AGI or strong AI).
INTRODUCTION
4. Artificial intelligence (AI) is the
intelligence of machines and the
branch of computer science that
aims to create it.
AI textbooks define the field as
"the study and design of
intelligent agents" where an
intelligent agent is a system
that perceives its environment
and takes actions that maximize
its chances of success.
What is Artificial Intelligence?
5. •DEDUCTION, REASONING, PROBLEM SOLVING.
PROBLEM DEDUCTED THROUGH A.I.
•NATURAL LANGUAGE
PROCESSING
•SOCIAL INTELLIGENCE
•MOTION AND MANIPULATION
6. •CYBERNETICS AND BRAIN SIMULATION
•SYMBOLIC
When access to digital computers became
possible in the middle 1950s, AI research began
to explore the possibility that human intelligence
could be reduced to symbol manipulation.
APPROACHES
7. TOOLS
•SEARCH AND OPTIMIZATION
Many problems in AI can be solved in theory by
intelligently searching through many possible
solutions. Planning algorithms search through trees
of goals and subgoals, attempting to find a path to a
target goal, a process called means-ends analysis.
8. LOGIC
Logic is used for knowledge representation and
problem solving, but it can be applied to other
problems as well. AI researchers have devised a
number of powerful tools to solve these problems
using methods from probability theory and
economics.
9. •CONTROL THEORY
Control theory, the grandchild of cybernetics, has
many important applications, especially in robotics.
•LANGUAGES
AI researchers have developed several specialized
languages for AI research, including Lisp and Prolog.
12. APPLICATIONS
• Gesture recognition
• Individual voice recognition
• Global voice recognition
• Facial expression recognition for interpretation of
emotion and non verbal queues.
• Robot navigation.
13. Conclusion
Artificial Intelligence and Machine
Learning are products of both science
and myth. The idea that machines could
think and perform tasks just as humans
do is thousands of years old.
The cognitive truths expressed in AI and
Machine Learning systems are not new
either. It may be better to view these
technologies as the implementation of
powerful and long-established cognitive
principles through engineering.
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